Privacy Engineer

About the role

**Summary:**

Meta's Privacy Engineering team is seeking a Privacy Engineer with experience in applying an adversarial mindset to identify, scope, contain, and eradicate real-world privacy threats to products and infrastructure. Your primary responsibility will be to deal with privacy vulnerabilities by designing and guiding Software Engineers through remediations, learning from security/privacy incidents, and identifying vulnerabilities across our codebase at scale. Your skills will be the foundation of security initiatives that protect the security and privacy of billions of people. You will advance Meta’s mission of making the world more open and connected by identifying and neutralizing threats that aim to collect sensitive information or disrupt our systems.

**Required Skills:**

Privacy Engineer Responsibilities:

1. Incident triage and fact identification: Get the right people involved to understand what has happened and assess the impact

2. Follow the facts uncovered in the triage to mitigate and remediate the vulnerability

3. Review and understand what happened, and ensure that the root cause and contributing factors are identified, documented, and remediated

4. Apply technical understanding to ensure Meta learns from each incident to ensure it doesn’t resurface

5. Build AI agents and agent pipelines to help discover, prevent, and remediate vulnerabilities and privacy issues

6. Employ an adversarial mindset to proactively identify vulnerabilities across Meta's products

**Minimum Qualifications:**

Minimum Qualifications:

7. 2+ years work experience in technical privacy, security, or security software engineering domains, including incident response, application privacy/security, and/or offensive security

8. Experience identifying, analyzing, and remediating real-world privacy/security threats

9. Software engineering proficiency equivalent to 1+ years work experience coding in Python, PHP, Java, C/C++ (or equivalent language) including code maintenance and review

**Preferred Qualifications:**

Preferred Qualifications:

10. B.S. or M.S. in Computer Science or a related field, or equivalent work experience

11. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

12. Experience within a corporate environment communicating technical issues and their implications to other areas of the business

13. Experience managing large-scale incidents with broad, public visibility

14. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

15. Technical experience across other Privacy or Security disciplines, e.g., Application Security/Privacy

16. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

17. Technical contributions to the privacy or security community (e.g., public research, blogging, presentations)

**Industry:** Internet

Posting text as published by Meta.

The evidence behind this listing

Workplace

Remote Matched in posting text

Seniority

Not established

Employment type

Not established

Location as listed

Virtual, USA

Pay and work authorization

Stated pay

Not stated

Visa sponsorship

Not stated

Security clearance

Not established

Citizenship

Not established